Trend Spotter

Cross-reference YouTube trending videos with Exa web coverage to classify trends.

1|2|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/vibecode/Skillsforagent --skill trend-spotter-vibecode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Trend Spotter
Source: https://github.com/vibecode/Skillsforagent/tree/main/Specialized/trend-spotter
Command: npx skills add https://github.com/vibecode/Skillsforagent --skill trend-spotter-vibecode

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps identify emerging trends by comparing their popularity on YouTube with their coverage on the web, allowing users to capitalize on topics before they reach peak saturation.

Core Features & Use Cases

  • Cross-Platform Trend Analysis: Compares YouTube trending signals with web search coverage.
  • Lifecycle Classification: Identifies trends as Emerging, Peaking, or Declining.
  • Content Gap Identification: Pinpoints topics with high YouTube interest but low web coverage, indicating content opportunities.
  • Use Case: A content creator can use this skill to find topics that are gaining traction on YouTube but haven't yet been widely covered by blogs or news sites, allowing them to create timely and relevant content.

Quick Start

Use the Trend Spotter skill to find emerging trends related to AI in software development.

Frequently Asked Questions about Trend Spotter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find emerging trends by comparing YouTube and web search coverage?

To find emerging trends, cross-reference YouTube trending videos with web coverage via Exa to identify topics with high YouTube interest but low web depth. This content gap indicates untimed opportunities before peak saturation.

What is the best way to identify content gaps for emerging topics on YouTube?

The best way to identify content gaps is analyzing YouTube popularity signals against web search coverage depth. Pinpointing topics with high YouTube interest but low web coverage reveals prime content creation opportunities.

How do I classify the lifecycle stage of a trending topic?

Classify a trending topic's lifecycle stage by comparing its YouTube popularity against web coverage depth. This analysis categorizes trends as Emerging, Peaking, or Declining based on cross-platform saturation.

Do I need serpapi and exa foundational skills to analyze cross-platform trends?

Yes, you need serpapi and exa foundational skills for data retrieval and analysis. These dependencies extract YouTube trending signals and web search coverage depth required to execute cross-platform trend analysis.

Can I use this to find topics that are hot on YouTube but under-covered on the web?

Yes, you can find topics hot on YouTube but under-covered on the web. The skill analyzes YouTube popularity signals against web coverage depth specifically to pinpoint these content gaps before they reach peak saturation.

What are the limitations of using YouTube trending videos for market analysis?

A limitation of using YouTube trending videos for market analysis is that it depends strictly on serpapi and exa data retrieval. Without comprehensive web coverage depth from these sources, lifecycle classification accuracy may decrease.